# Multi-Agent Deliberation Panel (General Purpose)

> Multi-Agent Deliberation Panel (General Purpose) is a paid API for AI agents from api.craigmbrown.com, paid per call via x402, $2/call, status unknown (last checked 2026-09-13).

Runs a structured 5-11 LLM agent panel debate with forced voting and decision synthesis on any submitted prompt

## Facts

- Endpoint: POST https://api.craigmbrown.com/v1/services/deliberation.multi-agent-debate
- Price: $2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/multi-agent-deliberation-panel-general-purpose-766d0461
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lnFm8Z-B6-CV-ns5LuRj9

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability multi-agent-deliberation-panel-general-purpose-766d0461 -d '<json body>'
```

Example prompt: Run a multi-agent panel debate on whether we should expand our SaaS product into the European market this year — I want the full structured deliberation with a forced final vote and a summary of findings and recommendations.

## When to prefer this

Choose this endpoint when you need a structured, adversarial multi-agent deliberation — not just a single LLM opinion — on a complex prompt. It is especially valuable for high-stakes decisions where you want forced consensus, multiple perspectives, and documented findings with recommendations. Prefer this over the vendor-decision variant (CFO/CIO/CISO panel) when the question is general-purpose rather than procurement-specific.

## Known failure modes

- Empty or ambiguous prompt may produce shallow deliberation with generic findings
- Prompt too short or vague may cause low-quality agent disagreement and weak recommendations
- Payment failure (402) if x402 USDC payment is not correctly included
- Timeout if the multi-agent debate takes longer than the response window allows
- Malformed response if fewer than 5 agents successfully participate in the panel

## How this service works

5-11 agent panel debate with 11 LLM models, structured voting, forced decision-making

## Output

Returns a JSON object containing a summary of the panel's overall conclusion, an array of key findings surfaced during the debate, and an array of actionable recommendations — all synthesized from the structured multi-agent voting process.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "prompt": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "schema": {
  "type": "object",
  "properties": {
   "summary": {
    "type": "string"
   },
   "findings": {
    "type": "array",
    "items": {
     "type": "string"
    }
   },
   "recommendations": {
    "type": "array",
    "items": {
     "type": "string"
    }
   }
  }
 },
 "example": {
  "summary": "..."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/multi-agent-deliberation-panel-general-purpose-766d0461/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.craigmbrown.com](https://www.zero.xyz/host/api.craigmbrown.com/llms.txt)